Cyclic commit transaction protocol

ABSTRACT

A cyclic commit protocol is used to store relationships between transactions and is used by the technology to determine whether a transaction is committed or not. The protocol allows creation of a cycle of transactions which can be used to recover the state of a storage device after a host failure by identifying the last committed version of intention records as committed or uncommitted based on the data stored in the physical pages.

BACKGROUND

Non-volatile random access storage devices store data in pages that can be read or written as commanded by a host system's application. These storage devices provide non-volatile memory that persists across system failures such as a power failure in the host device.

Often an application needs to update multiple pages of data as part of a single compound operation. A failure during a write operation may leave such a compound operation only partially completed. When the application is restarted it needs to recover a consistent state.

FIG. 1 illustrates a general approach to implementing a transactional storage device 200. An application 150 addressing the device is permitted to issue operations to write multiple pages and to read single pages. Each operation is considered a transaction. The application does not issue overlapping operations on the same page, while the transactional storage device ensures that every operation will either complete fully or, if interrupted, appear never to have been started.

A transactional storage device 200 may be implemented using a combination of data structures stored in volatile memory, data structures stored on in non-volatile memory 100, and methods for updating the data structures by reading and writing individual pages on the storage device during normal operation, recovery, and initialization. The initialization method 110 formats the data structures on the ordinary storage device when the transactional storage device is first placed into service. The recovery method 120 rebuilds the data structures in volatile memory and possibly repairs some storage pages on the storage device before resuming normal operation after a failure or other stoppage.

As illustrated in FIG. 1, a storage page 125 includes metadata 124 in addition to the page data 122. The metadata is typically used to store an identification label and an error correction code for the data and metadata in the storage page. Common sizes for typical storage devices are 512 to 4096 bytes of page data and 8 to 128 bytes of metadata.

Transactional write operations may be implemented by means of a remap table 130 and a log of intentions and commits. When writing new data to a page, the old data is never overwritten because a failure might cause both the old data and the new data of the page to be lost. Instead, the new data is written to a free storage page 125 with metadata 124 indicating the page number and a version number. The version number serves to identify which version of the page is most recent. A remap table 130 in volatile memory keeps track of the latest storage page and version number for each page. To handle transactional write operations of multiple pages, the new data for each page is written to the storage device as an intention record. Once all the writes of intention records have completed successfully, a commit record is written to the storage device. Typically the intention records and commit records are organized into a log.

SUMMARY

Technology is presented for writing information to a storage medium which allows for the efficient recovery of the medium if the write operation is interrupted. A cyclic commit protocol is used to store relationships between transactions and is used by the technology to determine whether a transaction is committed or not. The cyclic commit protocol stores a link to the next record in the metadata of an intention record and creates a cycle among the intention records of the same transaction. In an alternate embodiment, the protocol stores a link to the next record and the last known committed intention in the metadata.

In one aspect, a method for storing information on a non-volatile storage media is described. The method includes defining a series of write operations in a transaction, each write operation including a write intention. The method includes writing data in the write operations in a series of storage pages, each page including metadata identifying at least one other intention in the transaction cycle.

This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a general approach to implementing a transactional storage device.

FIG. 2 illustrates the overall method according to the first embodiment of the recovery method of the technology.

FIG. 3 illustrates the volatile memory data structures.

FIG. 4 illustrates metadata fields stored with each page in a first embodiment of the technology.

FIG. 5 illustrates the fields in a remap table entry according to a one embodiment of the technology.

FIG. 6 illustrates the fields in a recov entry.

FIG. 7 is a flowchart showing a method of writing multiple pages in a transaction according to the first embodiment of the technology.

FIG. 8 is a flowchart of the recovery method illustrating additional steps completed.

FIG. 9 is a flowchart showing the recovery subroutine to scan a storage page.

FIG. 10 is a flowchart of the recovery subroutine to trace cycle links to determine if the highest version of page p is committed.

FIG. 11 is a flowchart illustrating the recovery subroutine to rebuild a page's remap entry.

FIG. 12 gives a flowchart of the recovery subroutine to rub out a storage page containing an uncommitted intention.

FIG. 13 illustrates the overall method according to a second embodiment of the technology sometimes referred to as the backpointer alternative.

FIG. 14 shows an example labeled set of versions.

FIG. 15 illustrates the metadata fields stored with each page according to a second embodiment of the technology.

FIG. 16 illustrates the volatile data structures used with the second embodiment of the recovery method of the technology.

FIG. 17 illustrates the fields in a remap entry used with the second embodiment of the recovery method of the technology.

FIG. 18 illustrates the structure of the pvers list used in the second embodiment of the recovery method of the technology.

FIG. 19 illustrates the fields in a pvers entry according to a one embodiment of the backpointer alternative.

FIG. 20 is a flowchart illustrating a method of writing multiple pages in a transaction according to a backpointer alternative.

FIG. 21 is a flowchart illustrating how the backpointer maintenance erase process maintains the volatile data structures when a storage page is erased, overwritten, or rubbed out.

FIG. 22 is a flowchart illustrating a method of maintaining the volatile data structures when a new version is committed.

FIG. 23 is a flowchart illustrating a subroutine to release top-level status from a version.

FIG. 24 is a flowchart illustrating for a subroutine to release the designated straddler from a version.

FIG. 25 is a flowchart illustrating the method to release storage from a version.

FIG. 26 is a flowchart illustrating a method of returning storage pages to the free page set.

FIG. 27 is a flowchart illustrating a method of maintaining the volatile data structures when a storage page is copied.

FIG. 28 is a flowchart illustrating the backpointer recovery method.

FIG. 29 is a flowchart illustrating the recovery subroutine to scan a storage page.

FIG. 30 is a flowchart illustrating the recovery subroutine to trace cycle links.

FIG. 31 is a flowchart illustrating the recovery subroutine to classify top-level versions.

FIG. 32 is a flowchart illustrating the recovery subroutine to build straddle responsibility sets.

DETAILED DESCRIPTION

Technology is presented for efficiently ensuring that the integrity of data operations on a non-volatile storage device which have been interrupted due to a host system failure is maintained. A cyclic commit protocol is used to store relationships between transactions and is used by the technology to determine whether a transaction is committed or not.

In a unique aspect of the present technology, instead of using commit records to determine whether a transaction is committed or not, a cyclic commit protocol stores a link to the next record in the metadata of an intention record (i.e., the logical page of an SSD) and creates a cycle among the intention records of the same transaction. This eliminates the need for a separate commit record for each transaction, thereby removing the space and performance overheads.

As discussed below, the next page and version numbers are stored in the metadata portion of a page as a next-link. For each transaction, the next-link information is added to the intention records before they are concurrently written. The transaction is committed once all the intention records are written. If committed, starting with any intention record, a cycle that contains all the intention records in the transaction can be found by following the next-links. Any intention record belonging to an incomplete transaction is considered uncommitted. In the event of a system failure, a recovery procedure starts by scanning the physical pages and then runs a recovery algorithm to classify the intention records as committed or uncommitted, and identify the last committed version for each page based on the metadata stored in the physical pages

Two implementations are described. A first implementation requires that the recovery method rub out uncommitted storage pages before the system may resume normal operation. A second implementation requires additional metadata to be kept in each storage page and an analysis of the transactions is performed. The second alternative also requires that storage pages containing obsolete page data be reclaimed according to a certain precedence order, whereas the simple alternative has no such requirement. Neither alternative requires any reorganization overhead for garbage collection.

In a first alternative, sometimes referred to herein as a “simple” alternative, an assumption is made that after a host system failure, all intentions stored on the storage device are committed intentions except for intentions that belong to a transaction currently in progress. Since applications do not issue overlapping operations for the same page, the first implementation chooses between the intentions having the highest and the second highest version numbers for each page. Based on the assumption that all intentions are committed intentions except those in a transaction currently in progress, the intentions having the second highest version numbers must have been committed, since the application must have completed their transactions before going on to start a subsequent transaction on the same page. The method must then determine which of the highest version number intentions are also committed. After this has been done, all uncommitted intentions are rubbed out, restoring the invariant before resuming normal operation.

FIG. 2 illustrates the overall method according to the first embodiment of the recovery method of the technology. There are three main methods: initialization, recovery, and normal operation.

In normal operation at 130 a, each time a page is updated an associated version number is incremented at step 210. The page and version number is included in the intention record so that the recovery method can order in time multiple intentions relating to the same page. An intention record is stored in a storage page using page data and metadata. A remap table relates each page to the storage page number and version number of its latest version.

Alternatively, instead of associating a version number with each page, a transaction number can be associated with each transaction and this transaction number can be used in all places where the described embodiment uses a version number. The necessary adaptations will be obvious to those skilled in the art. A disadvantage of the transaction number alternative is that arriving write multiple operations have to be serialized, however briefly, in order to assign them each a transaction number.

At step 212, in a unique aspect of the present technology, all of the intentions belonging to the same transaction are linked together into a cycle by including in each intention the page number and version number of the next intention in the cycle. The cycle structure creates an implicit commit protocol, because the recovery method can determine that all intentions were written by tracing the links and finding a complete cycle.

At step 214, any storage page that contains obsolete page data is garbage and may be reclaimed and reused. Obsolete page data refers to the fact that there is a subsequent committed intention for the same page

When a transactional storage device is first brought into service, it needs to be initialized so that the data structures on permanent storage can reasonably be interpreted by the recovery method. At step 202, the drive is formatted by writing a single transaction for each page, using version number zero and filling the page data with zeroes. Any surplus storage pages may be filled with copies of the earlier storage pages or rubbed out or otherwise erased.

After initialization, a recovery method 120 a is used to prepare for normal operation. The purpose of the recovery method 120 a is to rebuild volatile data structures and possibly repair permanent data structures in preparation for normal operation.

As noted above, of the assumption that all intentions on the storage device are committed intentions except for intentions that belong to a transaction currently in progress, the recovery method only has to choose between the intentions having the highest and the second highest version numbers for each page. The intentions having the second highest version numbers must have been committed, since the application must have completed their transactions before going on to start a subsequent transaction on the same page.

Hence, the recovery method determines which of the highest version number intentions are also committed. At step 204, given a highest version number intention A, the recovery method determines whether A is committed or uncommitted using values available as stored in A's intention record via the following analysis:

If NP and NV are the page and version number of the next intention in the cycle from A, and HV is the highest version number of any intention that exists on the storage device for page NP, then there are three possible cases:

1. If HV>NV, then intention A is a committed intention. The application started a subsequent transaction on page NP so it must have completed the one involving A. 2. If HV<NV, then intention A is an uncommitted intention. The transaction involving A could not have completed, because if it had, there would be an intention on page NP with a version number at least as high as NV. 3. If HV=NV, then intention A links to another highest version number intention B, and the answer is the same as for intention B, which may be determined recursively. If this results in a cycle, then all of the involved intentions are committed intentions.

At step 204, for each page, the recovery method identifies the last committed intention based on this analysis. At step 206, the storage page and version number of the last committed intention are stored in the remap entry for the corresponding page.

Having determined which intentions were committed, at step 208, the recovery method rubs out any uncommitted intentions. This step is restores the invariant that all intentions on the storage device are committed intentions except for intentions that belong to a transaction currently in progress. Note that to rub out an intention, all copies of it must be eliminated from the storage device.

FIG. 3 illustrates the volatile memory data structures. In one embodiment, the data structures are stored in the high speed memory of a host device. The volatile data structures may consist of a remap table, a free page set, a recov table, and a meta table. The remap table relates each page number to the storage page and version number of the last committed intention. The free page set contains storage page numbers of free storage pages on the storage device. The recov table and the meta table contain information used during recovery and need not be stored at other times. The recov table is indexed by page number. The meta table is indexed by storage page number and contains a copy of the metadata for each storage page on the storage device.

FIG. 4 illustrates additional metadata fields stored with each page in a first embodiment of the technology. These additional metadata fields include the page and version number and the next page and next version number. Fields P and V contain the page number and version number of the intention. Fields NP and NV contain the page number and version number of the next intention in the cycle of intentions of the current transaction. Typically the metadata in a storage page would also include error correction code to ensure the integrity of the data and the metadata.

In the following description, the detection of a rubbed-out or erased storage page during a storage read operation is modeled as reading a value of NOPAGE for the metadata page number field.

FIG. 5 illustrates the fields in a remap table entry according to a one embodiment of the technology. Field S contains the storage page number in which the current version of the page is stored. Field V contains the version number.

FIG. 6 illustrates the fields in a recov entry. There are two groups of fields which correspond to the intentions having the highest and the second highest version numbers for the corresponding page. Fields S1 and V1 contain the storage page number and version number of the highest numbered version. Fields S2 and V2 contain the storage page number and version number of the second highest numbered version. Field C1 contains the deduced commitment state of the intention having the highest version number. The commitment state is one of NONE, UNCOMMIT, COMMIT. NONE means that the commitment state has not yet been deduced. UNCOMMIT means that the intention is known to be uncommitted. COMMIT means that the intention is known to be committed.

A method of reading the current contents of page number P involves looking up the current storage page number in the remap array and then reading that storage page from the storage device. The necessary arrangements will be obvious to those skilled in the art.

In order to maintain data integrity, a new protocol for writing transactions for pages of memory is provided. The protocol allows for the recovery of operations in progress during a host failure.

FIG. 7 is a flowchart showing a method of writing multiple pages in a transaction according to the first embodiment of the technology. At step 704, metadata is constructed for the intentions to be written, arranging for the NP and NV fields in each intention to refer to the next intention in cyclic order. The cycle is constructed in the order in which the pages are presented. Alternatively the cycle may be constructed in any other cyclic order.

For each page at step 706, steps 708, 710 and 712 are repeated. At step 708 the remap table is consulted to determine the last committed version, and the intention is written for the next version. That is, for each metadata entry P, V, NP and NV for page I, the remap data provides the last committed version and the next committed version written base on that version. At step 710, a free storage page (S[i]) is obtained from the free page set and then the page data D[i], and metadata M[i] of the intention are written to the storage device.

After all the writes are complete, at step 716 the old storage pages are returned to the free page set and the remap table is updated to refer to the new storage pages and new last committed versions.

As will be obvious to those skilled in the art, the storage pages for the transaction may be written in any sequence and overlapped in time. If the storage device requires storage pages to be erased before they may be rewritten, this must be performed before the storage pages are allocated to another write operation. Prior art teaches methods for doing this and the necessary arrangements will be obvious to those skilled in the art.

In the method shown in FIG. 7, the pages to be written in the transaction are presented all at once. Alternatively, the pages could be presented in a sequence, without indicating in advance how many there would be, and the method could determine the metadata for each intention as soon as it knew the next page number or, finally, that there were to be no more pages.

Note that writing a single page in a transaction is merely a simple instance of writing multiple pages in a transaction.

FIG. 8 is a flowchart of the recovery method illustrating additional steps completed at steps 204 and 206. In general, the recovery method comprises: initializing the recov table, scanning the metadata of all storage pages, tracing cycle links for the highest version intention of each page, constructing the remap table, rubbing out storage pages that contain uncommitted intentions, and initializing the free page set. These steps are meant to be illustrative and the actions described may be reordered and recombined as will be obvious to those skilled in the art.

At step 806, the recovery table is initialized. For each page P, initial recov values for S1, V1, C1 S2 and V2 are set. At step 808, for each storage page s, a recover scan is performed. The recover scan is detailed in FIG. 9. At step 810, a recover trace is performed for each page P. The recover trace is detailed in FIG. 10. At step 812, for each page—a recover remapping occurs as detailed in FIG. 11. At step 814, a recover rubout occurs as detailed in FIG. 12, below. At step 816, the free page set is initialized to contain all storage page numbers not referenced in the remap table.

FIG. 9 is a flowchart showing the recovery subroutine (step 808 in FIG. 8) to scan a storage page. At step 906, a storage page is read from the storage device and its metadata saved. At step 908, the metadata is interpreted as an intention and related to the recov entry for the relevant page. At step 910, a determination is made as to whether the metadata page (p) under determination is a rubbed out page. If so, at step 912, the method is complete. If not, then at step 914, the page version and previous versions are set the recov values and at step 916, a determination of whether the version information for the highest version (V1) is less than the stored page version number (v). If so, the highest version is demoted by mapping the recov values for the storage page number and the version number to the second highest version and storage page numbers (V2, S2), respectively at step 920. A new highest version and stored page number are set at 924. If not, then a determination is made at step 918 whether the highest version of the page V1 is equal to the stored page version number. If so, the routine is complete. If not, at step 922, a determination is made as to whether the second highest version V2 is less than the stored version (v) and if so, then a new second highest version is set at step 926. Information about the highest and second highest numbered intention for the page is retained. A duplicate copy of the same intention as seen previously is detected and ignored.

FIG. 10 is a flowchart of the recovery subroutine to trace cycle links to determine if the highest version of page p is committed. The subroutine is applied recursively in case the highest version intention links to another highest version intention. The p0 parameter indicates the outer level page in the recursive stack and is used to detect a cycle. The subroutine uses the recov table to locate the storage page containing the highest number intention and then the meta table to access the cycle link. Then it uses the recov table again to determine the highest version number for the linked page. The answer is immediate when the highest version differs from the next version. Otherwise the answer is determined recursively.

At step 1004, if the commit state C1 in the remap entry for page P is note NONE, then the answer is known. If the commit state is NONE, then at step 1008, the storage page number is set to the recov page number S1. At step 1010 if the storage page number determines the page was rubbed out, then C1 is set to uncommitted at 1012. If the page has not been rubbed out at 1010, then at step 1014, the metadata next page and next version numbers are set as test variables and at step 1016 if the next page number is equal to p0, the outer page in the recursive stack, then the recov entry commit state is set to COMMIT as the cycle is complete. If the next page is not equal to p0 at step 1016, then at step 1020 the recov storage page number and the recov version number are set as variables. At step 1022, a test is made to determine if the storage page number has been rubbed out and if so, at step 1024, the recov entry for the commit state is set to UNCOMMIT as no version of the page exists. If not, then at step 1026, a determination is made as to whether the recov version number is greater than the next version number. If so, a higher version of the page exists and the commit state in the recov table is set to COMMIT at 1028. If not, then a determination is made as to whether the recov version number is less than the next version number and if so, the commit state of the recov entry is set to UNCOMMIT since no version of the page exists. If not, then the Simple recover trace method is performed recursively for the next page.

Alternatively, the subroutine for tracing cycle links can be organized as an iterative loop instead of a recursive loop. The necessary arrangements will be obvious to those skilled in the art.

FIG. 11 is a flowchart illustrating the recovery subroutine to rebuild a page's remap entry. The choice is between the highest version and the second highest version. If the highest version is committed, then it is chosen. Otherwise, the second highest version is chosen. At step 1102, the remap entries for the storage page and commit state are set. At step 1104, the method determines whether page 51 has been rubbed out and if so, then at 1106, it is known that no version exists and the remap entry is set to NOPAGE and version to −1. If not, then the commit state is checked at step 1108. If the commit state is not set, then the highest version is not committed and the second highest version is used—the remap entries are set to the recov second highest page number and second highest version number at 1110. If the state is committed at 1108, then the highest version is committed ant the remap entries are set to highest page version and version number at 1112.

FIG. 12 gives a flowchart of the recovery subroutine to rub out a storage page containing an uncommitted intention. The recovery method may determine that some highest version intentions are not committed. The presence of such intentions violates the invariant that no uncommitted intentions exist on the storage device except for intentions that are part of an in-progress transaction. These “violation intentions” must be expunged from the storage device before normal operation can resume.

At step 1202, the page number and version number are read from the metadata of a given page. At step 1204, the method checks whether the page is already rubbed out. If not, then at 1208, the recov version number and commit state are read. If the version number of the page is not equal to the recov version number at 1210, then the page is not the highest version of the page. If the version number of the page is equal to the recov version number, then at step 1214 a determination is made as to whether the state is committed. If so, the highest version is committed at 1216 and if not, then storage page s can be rubbed out at 1218.

Note that copies of an intention may be present in multiple storage pages. Therefore it is not sufficient to use the recov table to look up the storage page. In order to expunge an intention, all copies of it must be expunged from the storage device. The storage pages holding violation intentions we call violation storage pages.

As will be obvious to those skilled in the art, the violation storage pages can be rubbed out in any order. Alternatively, if the storage device supports erasing blocks of storage pages, arrangements could be made to erase the blocks containing the violation storage pages. Of course, this approach might first require copying any non-garbage contents into free storage pages in other blocks.

In an alternative embodiment, it is possible to proceed directly from recovery to normal operation and delay the expunging of violation intentions. The limit on how long the delay can be before a violation intention must be expunged is as follows. Let A be a violation intention with metadata P, V, NP, and NV. Since A is a violation intention, it must be the case that remap[P].V=V−1 and remap[NP].V=NV−1. There is no confusion as long as no subsequent intention is written to the storage device that mentions page P or page NP as either the page being written or as the next intention being linked to. We say that pages P and NP are “restricted” by A and that an intention mentioning them is a “restricted” intention. The violation intention A must be expunged before a restricted intention is written. The necessary arrangements will be obvious to those skilled in the art.

There are two possible advantages to delaying the expunging of a violation intention. First, assuming that the application does not immediately issue a write on a restricted page, recovery is faster and the application can resume operation earlier. Second, by prioritizing violation storage pages for reuse, it might turn out that all copies of the violation intention are overwritten or erased through the normal process of writing new intentions before a restricted intention comes up. The necessary arrangements will be obvious to those skilled in the art. The disadvantage to delaying the expunging of a violation intention is that additional data structures have to be maintained during normal operation.

An in-progress transaction that has not written all of its intentions may be aborted at any time without requiring that other in-progress transactions also abort. The intentions that have been written become violation intentions and thus must be expunged before their restricted pages can be written again. The necessary arrangements will be obvious to those skilled in the art.

As an alternative to restricting certain intentions until violation intentions are expunged, one or more abort records can be written that list the violation intentions by reference. The presence of an abort record would be used during the recovery method to cause the referenced violation intentions to be ignored for consideration as either the highest or second highest version numbered intention for their page. However, to avoid confusion of version numbers, a last used version number would have to be maintained for each page as in the backpointer alternative discussed below. The abort record represents storage overhead and it would have to be retained until all referenced violation intentions were expunged. The necessary arrangements will be obvious to those skilled in the art.

The abort record alternative is especially attractive in combination with the transaction number alternative described above, because all of the violation intentions in a single uncommitted transaction can be referenced by means of a single transaction number. The necessary arrangements will be obvious to those skilled in the art.

The first embodiment of the technology has the advantage that no storage device reorganization overhead is required as part of garbage collection. The first embodiment requires that an uncommitted intention left after a failure must be rubbed out before a subsequent transaction involving the same page can be started.

This second disadvantage is eliminated by the second embodiment of the technology herein referred to as the backpointer alternative.

It is known that in a given failed state, each page has some last committed version, but it may also have subsequent versions that are uncommitted. The last committed version and any subsequent versions are referred to herein as “top-level” versions. The backpointer recovery method works by determining the commitment state of the highest-numbered version for a given page. If it is committed, then it is the last committed version. If it is uncommitted, the version itself indicates the last committed version, and all intermediate versions must be uncommitted.

Like the first embodiment, the recovery method in the backpointer alternative determines the commitment state of a highest-numbered version by tracing through the version cycle. Given a particular version in the cycle, the next version in the cycle is referred to as the “target” version.

Let NP and NV be the page number and version number of the target version. If the target version were uncommitted, the next subsequent version created on page NP would have a version number higher than NV but a last committed version number lower than NV. This situation is referred to as a “straddle” and is illustrated in FIG. 14. The straddle situation proves that the target version must not have been committed. A straddle can never happen for a committed target.

The presence or absence of a straddler determines the commitment state provided that NV is less than the highest version number on page NP. If NV is higher than the highest version number on page NP then the commitment state is also determined, because the target version must be uncommitted. The only remaining case is when NV equals the highest version number on page NP. In this case the target must be a highest-numbered version, and its commitment state can be determined by recursive application of the analysis. The recursive application checks for a complete cycle, which indicates that all of the involved versions are committed.

Given that a target is uncommitted, all subsequent versions created on that page will straddle the target until finally one of them is committed, after which all further subsequent versions will not. So the committed straddler is important, because it is the last one and straddles the most. However, if a further subsequent version is committed, the committed straddler becomes superfluous for the purpose of storing data, since it is not the last committed version of its page. Nevertheless the committed straddler must be preserved because it is needed as a straddler.

Recall that the determination of commitment state depends on the presence or absence of straddlers for the target of a highest-numbered version. However, to garbage collect any uncommitted version, an uncommitted highest-numbered version might disappear, thus exposing the target of the next lower-numbered version. Therefore the determination of commitment state actually depends on the presence or absence of straddlers for the target of any top-level version.

To keep track of which versions must be preserved because they are needed as straddlers, a “designed straddler” is assigned to each top-level uncommitted version A as follows. Consider the set of all versions that straddle the target of A. From this set, choose the highest numbered version V that is not later than the last committed version. In this case, V is the “designated straddler” for A and that A belongs to the “straddle responsibility set” of V. This defines the straddle responsibility set of each version.

There may remain top-level uncommitted versions whose targets are subsequent to the last committed version of the target page (or even subsequent to the highest-numbered version of the target page) and therefore do not get a “designated straddler” via this assignment. These top-level uncommitted versions are in effect waiting for the next committed version on their target page to be their designated straddler. These top-level versions are collected into a “straddle responsibility set” associated with their target page.

Given the “top-level” determinations and “straddle responsibility sets” constructed by the recovery method, the garbage collector may collect any top-level uncommitted version and any non-top-level version that has an empty straddle responsibility set. The determination of last committed versions by the recovery analysis does not depend on the existence of such versions, and therefore they may be removed.

After recovery the system enters normal operation and the contents of the storage device evolves through the operations of erasing or overwriting the old contents of storage pages and writing new contents in them. These operations affect the “top-level” determinations and “straddle responsibility sets” that the recovery method would construct were it to be performed after such an operation. Rather than re-perform the recovery method, which would be expensive and cumbersome, the data structures are modified incrementally to produce the same result. The data structures have been designed so that this incremental maintenance is efficient to perform.

FIG. 13 illustrates the overall method according to the backpointer alternative. As in the first embodiment, there are three main stages: initialization 110 b, recovery 120 b and normal operation 130 b. Because initialization and recovery prepare for normal operation, it helps to discuss normal operation first. Initialization 110 b is equivalent to initialization in FIG. 2 and includes only the format step 202

In normal operation 130 b, each time a page is updated an associated version number is incremented. At step 210, the page and version number is included in the intention record so that the recovery method can order in time multiple intentions relating to the same page. An intention record is stored in a storage page using page data and metadata. A remap table relates each page to its existing versions and the storage page numbers where the intention records for those versions are stored.

Alternatively, instead of associating a version number with each page, a transaction number can be associated with each transaction and this transaction number can be used in all places where the description uses a version number. The necessary adaptations will be obvious to those skilled in the art. A disadvantage of the transaction number alternative is that arriving write multiple operations have to be serialized, however briefly, in order to assign them each a transaction number.

At step 212, all of the intentions belonging to the same transaction are linked together into a cycle by including in each intention the page number and version number of the next intention in the cycle. The cycle structure creates an implicit commit protocol, because (disregarding garbage collection) the recovery method can determine that all intentions were written by tracing the links and finding a complete cycle.

At step 1340, in a departure from the simple method, each intention records the last committed version number for that page. Typically the last committed version number will be the version number immediately previous to the version number of the intention. The last committed version number provides enough information to determine when an uncommitted intention has been left behind by the interruption of a transaction. The recording of the last committed version number in each intention is a unique aspect of the present technology.

For each page, the last committed version and all subsequent versions form the set of “top-level” versions. The versions subsequent to the last committed version must, of course, be uncommitted versions. A top-level uncommitted version appears in a “straddle responsibility set” associated with a designated straddler whose presence proves to the recovery method that the top-level uncommitted version is, in fact, uncommitted. A designated straddler must be preserved as long as its straddle responsibility set is non-empty. As normal operation proceeds, old intentions are removed from the storage device as their storage pages are erased or overwritten and new intentions are added. The change in the set of intentions present on the storage device affects the set of “top-level” versions and the various “straddle responsibility sets”.

At step 1350, data structures representing these sets are maintained in volatile memory in an incremental fashion as storage pages are erased or overwritten on the storage device.

A version is garbage provided that it is not a top-level committed version and it has an empty straddle responsibility set. At step 1360, any storage page containing a garbage version may be reclaimed and reused.

Returning to step 202, when a transactional storage device is first brought into service, it is initialized or “formatted” so that the data structures on permanent storage can reasonably be interpreted by the recovery method. The simplest approach is to write a single transaction for each page, using version number zero, last committed version number zero, and filling the page data with zeroes. This is the only exception to the rule that the last committed version number is less than the version number of the intention. Any surplus storage pages may be filled with copies of the earlier storage pages or rubbed out or otherwise erased.

After initialization, recovery 120 b is used to prepare for normal operation. The purpose of the recovery stage is to rebuild volatile data structures in preparation for normal operation. At step 1310, after reading all intentions from the storage device, the top-level versions for each page are classified by analyzing the highest numbered version and rebuilt in volatile memory. The analysis only has to determine whether the highest numbered version is committed or not. The last committed version is either the highest number version itself, or it is the last committed version as recorded in the metadata for the highest number version. The analysis is based on tracing the next pointer and when the target version is earlier than the highest number version on the target page it depends on the presence of a straddler to prove an intention is uncommitted.

Having classified the top-level versions, at step 1320, the recovery method determines a designated straddler for each uncommitted top-level version and builds straddle responsibility sets. Finally at step 1330, the recovery method collects all garbage intentions to initialize the free page set.

FIG. 14 shows an example labeled set of versions. In this example, pages are referred to by the letters A through H and the version numbers are 0, 1, 2, and 3. Links to the next version in a cycle are shown by arrows. For example, version A2 links to version B2, as shown by an arrow. In this example the various versions are labeled as to whether they are committed or uncommitted. Uncommitted versions such as A2 are indicated by white fill. Committed versions such as C3 are indicated by crosshatch fill. Although all versions in the example are labeled, the second alternative of the recovery method does not attempt to classify all versions, but only the top-level versions, those that consist of the last committed version and all subsequent versions. The set of top-level versions is indicated by a shaded background 1410. In some cases, such as for example versions C3, G3, and H2, the highest-numbered version is in fact a committed version and therefore the top-level includes only the highest-numbered version. In other cases, such as for example, versions A0 and D2, the last committed version is succeeded by one or more uncommitted versions.

Some versions in FIG. 14 are missing, such as version B2. Perhaps B2 was never written or perhaps it was written but never committed and then subsequently garbage collected. Missing versions are indicated by a dotted border. Version C0 is also missing, it must have been a committed version, since it is linked from committed version B0. Version C0 is superseded by a later committed version C2 so presumably the garbage collector reclaimed and reused the storage page occupied by C0. Therefore version C0 is indicated as both committed and missing. Presumably C0 had a link to some other committed version as part of a complete cycle, but that link is no longer present in the existing set of versions.

In FIG. 14, version B1 links to version C1. However C2 is a later version for page C than version C1 and at the time that C2 was written, the last committed version for page C was version C0. Therefore version C2 “straddles” the next pointer of B1. The straddle is indicated by a dashed bar across the next pointer. The straddle proves that version B1 must be uncommitted. Version C2 is the “designated straddler” for version B1. Note that even though version C2 is not a top-level committed version (due to the existence of C3) it must be preserved because it is a designated straddler.

To be a designated straddler a version must fulfill three requirements: (1) it has to straddle a next pointer from a top-level version, (2) it has to be the latest version on its page that straddles that next pointer, and (3) it has to be no later than the last committed version on its page. Observe in FIG. 14 that version D2 straddles the next pointer of C1 but C1 is not a top-level version so D2 fails requirement (1). Version G2 straddles the next pointer of F1 but G3 is a later version on its page that also straddles the next pointer of F1 so G2 fails requirement (2). Version F3 straddles the next pointer of E1 but F3 is later than the last committed version on page F so F3 fails requirement (3).

In FIG. 14, the last used version number for page B is 2, even though no version B2 exists. Perhaps version B2 existed at one time and was garbage collected or perhaps it was never written at all, but because version B2 is the target of version A2, the version number is in use, so the next subsequent version created for page B must be version B3.

An example of the recovery method top-level classification analysis proceeds given the example set of versions shown in FIG. 14 is as follows. Suppose that the analysis starts with page A. The highest version is A2. A2 links to B2, which is higher than the highest-numbered existing version in page B, so A2 must be classified as “uncommitted”. A2 says that the last committed version on page A is A0. Therefore the intermediate version A1 must be classified as “uncommitted” and finally version A0 as “committed”.

Next the analysis moves on to page B. The highest-numbered version is B1, which links to C1. C1 is straddled by C2, so B1 must be classified as “uncommitted”. B1 says that the last committed version on page B is B0. There are no intermediate versions and version B0 must be classified as “committed”.

Next the analysis moves on to page C. The highest-numbered version is C3, which links to C3, forming a complete cycle. Therefore C3 must be classified as “committed”.

Next the analysis moves on to page D. The highest-numbered version is D3, which links to F3, also a highest-numbered version. Therefore the analysis applies itself recursively to F3. F3 links to G2, which is straddled by G3. Therefore F3 and D3 must be classified as “uncommitted”. F3 says that the last committed version is F0. The intermediate version F1 must be classified as “uncommitted” and finally version F0 as “committed”. D3 says that the last committed version is D2. There are no intermediate versions and version D2 must be classified as “committed”.

Next the analysis moves on to page E. The highest-numbered version is E1. E1 links to F1, which is straddled by F3. So the analysis concludes that E1 must be classified as “uncommitted”. This is a correct conclusion, even though F3 is not a designated straddler. In fact, at this point, the analysis does not know which versions are designated straddlers or not. The reason F3 is not a designated straddler is that it would not cause the analysis to reach a different conclusion if F3 were removed. Observe that the analysis has already classified F1 as “uncommitted” so alternatively it could immediately conclude that E1 must be classified as “uncommitted” without even needing to look for the straddler. In any event, E1 says that the last committed version is Ea There are no intermediate versions and version E0 must be classified as “committed”.

Page F already having been analyzed, next suppose that the analysis moves on to page G. The highest-numbered version is G3. G3 links to H2, also a highest-numbered version. Therefore the analysis applies itself recursively to H2. H2 links to G3, forming a complete cycle. Therefore H2 and G3 must be classified as “committed”.

There remaining no more pages to consider, the classification of top-level versions is complete.

Observe that the analysis depends on the existence of version C2, which straddles C1 and proves that B1 is uncommitted, even though C2 is not a top-level version. Therefore, C2 must be preserved as long as B1 exists as a top-level version. C2 therefore has “straddle responsibility” for B1.

Likewise, version G3 has straddle responsibility for F1 and F3. At the point in time illustrated in the example, G3 is a top-level committed version, so it must be preserved anyway since it contains the most recent committed data for page G. However, if page G were updated in a subsequent committed transaction, G3 would cease to be a top-level version but it would have to be preserved as long as F1 or F3 continued to exist as top-level versions.

Although the analysis in this example did not depend on G3 straddling the target of F1, G3 still has straddle responsibility for F1. In the future, the top-level uncommitted version F3 could be garbage collected, which would expose F1 to the analysis.

A version can only have straddle responsibility for a top-level uncommitted version. If a version is not top-level, the analysis will never need to classify it, and if a version is committed, it is impossible for there to be a straddle. So there are two ways in which a version can be relieved of straddle responsibility for a version X. The first is for a new version to be committed on the same page as X, which causes X to cease to be a top-level version. The second is for version X to be eliminated so that it will never in the future be encountered by a recovery method.

Because only one transaction can be in-progress for any given page at the same time, a version can only acquire straddle responsibility at the moment its transaction commits. Referring to the example in FIG. 14, suppose that a new transaction consisting of the single version B3 were committed. B3 would at that moment acquire straddle responsibility for versions A1 and A2, since they have targets of B1 and B2 respectively, which would be straddled by B3. So in the state at the time illustrated in FIG. 14, versions A1 and A2 are in effect waiting for the next committed version on page B to come and take straddle responsibility for them. We say that page B has “straddle responsibility” for A1 and A2, meaning that the next committed version on page B will take this responsibility.

FIG. 15 illustrates the metadata fields stored with each page according to a second embodiment of the technology. A storage page is interpreted as an intention to write a certain page as indicated by the metadata. The metadata fields are as follows. Field P contains the page for which the data is intended to be written. Field V contains the version number of the intention and is used to order in time multiple intentions for the same logical page. Field L contains the last committed version number (prior to this intention) for the same page as this intention. Fields NP and NV contain the page number and version number of the next intention in the cycle of intentions comprising the current transaction.

FIG. 15 illustrates the page format and metadata fields according to the backpointer alternative. In a standard page of data, the metadata would also include an error correction code field to ensure the integrity of the data and the metadata. These metadata fields include the page number P, the version number V, the last committed version number L and next page number NP and the next version number NV. Usually the last committed version number L will be the version immediately prior to the version number listed in the storage page. However, when an intention is left uncommitted (for example due to a failure), the next intention written for that page will have a last committed version number that refers to a version prior to the immediately prior version.

FIG. 16 illustrates the volatile data structures used with the second embodiment of the recovery method of the technology. These data structures may be stored in the host system, such as a computer system's RAM memory. They do not survive a failure but must be rebuilt by the recovery process from the permanent data structure stored on the storage device.

The volatile data structures consist of a remap table, a free page set, and an unmap table. The remap table organizes information relevant to each page, including all of the versions of that page, the classification of the top-level versions, and the straddle responsibility sets. It is described in more detail below. The free page set contains storage page numbers of free storage pages on the storage device. The unmap table relates storage pages back to pvers entries for the corresponding intentions.

FIG. 17 illustrates the fields in a remap entry in the backpointer alternative. Each remap entry contains information about a given page. Because of the complicated conditions required to control the order of garbage collection, much more information is required than for the simple alternative.

Since the recovery process determines which intentions are committed but leaves all of the uncommitted intentions untouched, there could exist uncommitted intentions with version numbers higher than that of the last committed version number. There could also exist links to missing intentions with version numbers higher than that of the last committed version number, and these version numbers must also be considered as used. Field U contains the last used version number.

Field PV contains information about each the existing versions for this page, organized as a list of pvers entries which may be advantageously sorted by version number. The contents of a pvers entry are described below in FIG. 18. Field LPV contains a pointer to the last committed pvers entry. Field SRS contains a pointer to a straddle responsibility set that indicates which existing top-level uncommitted versions have next links that will be straddled by the next committed version of this page.

FIG. 18 illustrates the structure of the pvers list. The pvers list is sorted by version number and doubly-linked so that deleting an existing pvers entry is efficient. During normal operation the only operations that need to be performed on the pvers list are insertion of a new highest version (when a new version is committed) and deletion (when a garbage intention is expunged). It will be obvious to those skilled in the art how to perform these operations efficiently on a sorted, doubly-linked list.

During recovery, finding straddlers is also required. Given a target version number NV, a straddler is the pvers entry pv of highest version number such that pv.L<NV and NV<pv.V. Note that sorting the pvers list by version number also sorts it by last committed version number. As illustrated in FIG. 18, during recovery the pvers list is augmented with a sorted index based on last committed version number. Alternatively, the sorted index can be based on version number. The sorted index can be used for the efficient finding of straddlers via binary search. During recovery all versions of all pages can be gathered during the scan and then sorted to produce the sorted index.

FIG. 19 illustrates the fields in a pvers entry according to a one embodiment of the backpointer alternative. The P, V, L, NP, and NV fields are copied from the corresponding metadata fields of the version as stored on the storage device. Field SS contains the set of storage page numbers in which copies of the version are stored. Field C contains the classification of the commitment state of this version. The commitment state is one of NONE, UNCOMMIT, COMMIT. NONE means that the commitment state is not classified. UNCOMMIT means that the version is a top-level version known to be uncommitted. COMMIT means that the version is a top-level version known to be committed. Field SRS contains a pointer to a straddle responsibility set that indicates versions for which this version is the designated straddler. Field T contains a pointer to the straddle responsibility set in which this version appears, or null, if there is none.

Note that when a new version is committed for page P, the straddle responsibility set of page P is transferred from the remap entry of page P to the pvers entry of the new version, and a new, empty straddle responsibility set is assigned to the remap entry of page P. This is why the SRS fields may be implemented as pointers.

Each straddle responsibility set represents the association of a set of top-level uncommitted versions with their designated straddler. In the case of a straddle responsibility set assigned to a page, this designated straddler does not yet exist, since it will be the next committed version of the page. However, in the case of a straddle responsibility set assigned to a version, the designated straddler is the version. In the latter case, each straddle responsibility set keeps a backpointer to the pvers entry which is the designated straddler. This backpointer is initialized when the straddle responsibility set is transferred from the remap entry of a page to a newly committed version. The necessary arrangements will be obvious to those skilled in the art.

Observe that a pvers entry can appear in at most one straddle responsibility set. Membership in a straddle responsibility set is implemented via doubly-linked threading through the pvers entries so that the operation of deleting a pvers entry from the set in which it appears is an efficient operation.

The pvers entry has to keep track of all storage pages in which the version appears, but this is only necessary for uncommitted top-level versions. Such versions appear in a straddle responsibility set and cannot be removed from that set as long as they continue to exist as top-level versions. The version continues to exist as long as any copy is present on the storage device. Therefore, the volatile data structures track every copy until they are all erased or overwritten.

A method of reading the current contents of page number P involves looking up the last committed pvers entry in the remap table entry for page P, choosing one of the storage pages from the SS field, and then reading that page from the storage device.

As with the first embodiment, in order to maintain data integrity, a new protocol for writing transactions for pages of memory is provided. The protocol allows for the recovery of operations in progress during a host failure.

FIG. 20 is a flowchart illustrating a method of writing multiple pages in a transaction according a backpointer alternative. As will be obvious to those skilled in the art, the pages may be written to the storage device in any sequence and overlapped in time. After all storage pages are written, the volatile data structures are updated to reflect that a new cycle of versions has been committed.

At step 2010, each page (n) includes metatdata M (n) an and a storage page number S(n). At step 2022 for each page 0 to n−1, at step 2024, the remap table is consulted to determine the last committed version, and the intention is written for the next version. That is, for each metadata entry P, V, L, NP and NV for page i, the remap data provides the last committed version and the next committed version written based on that version.

At step 2026, the next free page S[i] is returned from the free page set and a storage write of the free page number, the data and the metadata occurs at step 2028.

A backpointer maintenance erase, as described with respect to FIG. 21, then occurs. The backpointer maintenance erase process at step 2030 maintains the volatile data structures when a storage page is erased, overwritten or rubbed out.

After a storage page is written, the volatile data structures are updated to reflect that any prior version stored in that storage page has been overwritten. At step 2040 for each page 0 to n−1, steps 2042 and 2044 occur. At step 2042, the remap page entry for the last used version number is updated and a backpointer maintenance commit process described below with respect to FIG. 22 is completed at step 2044

Alternatively, the volatile data structures could be updated with each storage page written to the storage device, indicating that another uncommitted version is present, and then finally converting them all to committed versions when they are all written.

Note that writing a single page in a transaction is merely a simple instance of writing multiple pages in a transaction. Therefore no specific method needs to be specified for this operation.

FIG. 21 is a flowchart illustrating the backpointer maintenance erase process 2030 which maintains the volatile data structures when a storage page is erased, overwritten, or rubbed out. At step 2110, the unmap table is used to find the pvers entry corresponding to the version formerly stored in the storage page, if any. At step 2130, the storage page is removed from the set of copies of the version. At step 2140, if removal of the storage page makes the set of copies empty, then the version itself has been eliminated. At step 2150, it may be assumed that the pointer to the straddle responsibility set is null and the commit state is not COMMIT. An eliminated version cannot be responsible for any straddles and it cannot be a top-level committed version. At step 2160, a backpointer release straddler process to release the designated straddler from a version, described with respect to FIG. 24, is performed. Eliminating a version releases its designated straddler (if any) from responsibility for it. At step 2170, the pvers entry itself must be removed from the pvers list of versions for its page. At step 2180, the storage space occupied by the pvers entry can then be recycled. In any event, at step 2110 the unmap entry for the storage page is cleared.

FIG. 22 is a flowchart illustrating a method 2044 of maintaining the volatile data structures when a new version is committed. The storage page must not already be in use so at step 2210, it may be assumed that the storage page unmap entry is null.

At step 2220, for a given page number, the page data is taken from the page metadata. At step 2230, since the new version will be the last committed version, all existing top-level versions of the page cease to be top-level versions. At step 2230, for each pv entry, the backpointer top-level release process 2240 is performed. The top-level versions can be found directly at the high version-numbered end of the sorted pvers list.

At step 2250, a new pvers entry is allocated to contain information about the new version. At step 2260, relevant fields are copied from the metadata and at step 2270 the set of physical pages containing copies of this version is initialized to a singleton set containing just the written storage page number. Also at step 2270, the unmap entry for the storage page is set to point to the new pvers entry.

At step 2280, the commitment state classification is initialized to COMMIT. Since the target of a committed version cannot be straddled, the version appears in no straddle responsibility set. However, this version could be responsible for some straddles, so the straddle responsibility set is transferred from the page remap entry to the new pvers entry. The new pvers entry is inserted into the page remap entry pvers list, and will be the highest version numbered entry. The last committed pvers field in the page remap entry is set to point to the new pvers entry.

FIG. 23 is a flowchart illustrating a subroutine 2240 to release top-level status from a version. At step 2310, a test is made as to whether the pvers entry version is classified as UNCOMMIT. If so, it is a top-level uncommitted version. When it ceases to be a top-level version, it must release its designated straddler at step 2330 using the method described at FIG. 24. If the pvers entry is classified as COMMIT at step 2340, it is the top-level committed version. If its straddle responsibility set is empty, at step 2360, then all of its storage pages become free using the backpointer release storage process described below with respect to FIG. 25.

FIG. 24 is a flowchart illustrating for a subroutine 2330 to release the designated straddler from a version. The pvers entry T field indicates which straddle responsibility set the version appears in, if any. The straddle responsibility set can be associated either with a page, in which case the included versions are waiting for the next committed version on that page to be their designated straddler, or it can be associated with a version, in which case that version is the designated straddler. At step 2410, if the pvers entry T is not null, the entry is set to be a designated straddler at 2420. The entry T is set to null at step 2430. The designated entry is then tested to determine if the designated straddler that is not a top-level version at step 2440, if the commit state of the designated straddler is NONE at step 2450 and if removing the version from the straddle responsibility set leaves the set empty at step 2460. If so, then at step 2470 the designated straddler is no longer required and its storage can be reclaimed using the backpointer release storage method 2370.

FIG. 25 is a flowchart illustrating the method 2370 to release storage from a version. For each storage page s in pvers entry SS, at 2510, each storage page s holding a copy of the version is added to the free page set at 2520.

Note that just because the storage pages holding copies of the version have been released to the free page set, the version continues to exist on the storage device until all the storage pages containing it have been erased or overwritten. If the system was interrupted and the recovery method had to be invoked, the version would be found and if it was a top-level uncommitted version, a designated straddler might be required to prove that the version was uncommitted. The volatile data structures make sure that the designated straddler is preserved as long as it might be required.

In one embodiment, storage pages containing top-level uncommitted versions can be scheduled for priority of reuse, thus releasing their designated straddlers as soon as possible. Alternatively, storage pages containing top-level uncommitted versions can be rubbed out, which would accomplish the same end.

FIG. 26 is a flowchart illustrating a method of returning storage pages to the free page set. A storage page which has been erased or rubbed out contains no version and hence is free. A storage page which contains a version that is not a top-level committed version and that has no straddle responsibilities is also free. For each page s not in the free page set at 2610, at step 2620, the unmap table is used to obtain a pointer to the corresponding pvers entry at 2630 and if the pointer is null, page s can be added to the free page set. If pv is not null at step 2630, then the commit state is checked at 2650. If the page is not committed and the straddle set is empty at 2660, the page can be added to the free page set at 2640.

Some types of storage devices, such as flash memory, cannot write a written storage page without first subjecting the written storage page to an erasure process. Moreover, typically the erasure process cannot be applied to a single storage page but only to a large block of storage pages. In order to arrange for an entire block of storage pages to be garbage, it is sometimes necessary to copy the contents of one or more storage pages into other storage pages.

FIG. 27 is a flowchart illustrating a method of maintaining the volatile data structures when a storage page is copied. The new storage page must not already be in use. The method refers to a new storage page S1 and an existing storage page S0.

At step 2720, it may be assumed that the unmap entry for page S0 is not null and the unmap entry for the new page 51 is null. At step 2730, the new page number S1 is added to the set of storage page numbers in which the version appears and the unmap entry for S1 is set to the unmap entry for S0.

Once the erasure process has succeeded in erasing a block of storage pages, the volatile data structures should be updated accordingly, because any versions that were stored only on the erased pages are no longer available.

Alternatively, when arranging for an entire block of storage pages to be garbage, it may happen that one of the non-garbage storage pages is a non-top-level designated straddler with only a few versions in its straddle responsibility set. In such a case, rather than copying the designated straddler, it may be more efficient to rub out all of the storage pages holding copies of the versions in its straddle responsibility set and thus release the designated straddler, making it garbage.

FIG. 28 is a flowchart illustrating the backpointer recovery method. The recovery method comprises five major steps: initializing the remap table 2810, scanning the metadata of all storage pages 2830, tracing cycle links for the highest version intention of each page and classifying all top-level versions 2850, building the straddle responsibility sets 2870, and initializing the free page set 2890. These steps are meant to be illustrative and the actions described may be reordered and recombined as will be obvious to those skilled in the art.

For each page at step 2810, the remap table entries are initialized. For each storage page s, a backpointer recover scan described with respect to FIG. 29 is performed at 2840. For each page p, a back pointer recover trace, described with respect to FIG. 30, is performed. For each page p at 2870, a backpointer recover straddle responsibility set 2880 is performed.

FIG. 29 is a flowchart illustrating the recovery subroutine 2840 to scan a storage page. At 2910, a storage page s is read from the storage device and its metadata is interpreted as an intention and related to the remap entry for the relevant page. At 2920, a determination is first made as to whether the page is a rubbed out page and if so, at 2930 the method ends. At step 2950, if the pvers entry for version is not null, a duplicate copy of the same intention as seen previously is detected and added the set of storage pages holding that intention at 2960. At step 2970, a novel intention results in allocating a new pvers entry, which is initialized from the metadata and inserted into the pvers list for the page. At 2980, the last used version numbers are updated based on the version numbers of the intention and its next pointer.

In one embodiment, instead of processing the metadata directly from the storage pages of the storage device, all of the metadata is read, sorted in order primarily by page number M.P and secondarily by version number M.V, and then processed via the scan subroutine. Encountering the metadata in sorted order makes it efficient to look up the pvers entry for a duplicate intention and to add a new pvers entry to a sorted pvers list.

FIG. 30 is a flowchart illustrating the recovery subroutine 2860 to trace cycle links. The subroutine is applied recursively in case the highest version intention links to another highest version intention. The p0 parameter indicates the outer level page in the recursive stack and is used to detect a cycle. The subroutine uses the remap table to locate the highest version pvers entry for the page and then the remap table is used again to locate the highest version pvers entry for the target page. The target page is determined from this pvers entry.

At step 3020 the commit state of the highest version pvers entry in the remap table is checked. If the state is not NONE, then the page is already classified at 3025. If the target version is higher than the highest version number on the target page at step 3030, then the classification must be “uncommitted” at step 3035. In one embodiment, the pvers lists are sorted so that it is easy to locate the highest version pvers entry.

If at step 3040 the target version is lower than the highest version number on the target page, then the classification depends on whether or not there is a straddler. In one embodiment, the pvers list is augmented with a sorted index, as discussed previously, so that finding a straddler can be performed efficiently via binary search. At step 3050, if there is a straddler, then the classification is “uncommitted” at step 3055, otherwise it is “committed” at step 3060.

If the target version equals the highest version number on the target page at step 3070, then the analysis must be applied recursively at 3080, after checking to see if a complete cycle has been traced at 3070. At step 3080 the method is applied again for the highest version on page hv.P.

At step 3085, once the classification of the highest version intention is known, then the last committed version number is known and all top-level versions on the page can be classified. The toplevel versions can then be classified using the method shown in FIG. 31 at steps 3090 or 3095 for the current version or last version, respectively.

FIG. 31 is a flowchart illustrating the recovery subroutine 3090, 3095 to classify top-level versions. Once the last committed version number is known for a given page, examine each pvers entry in the pvers list for that page is examined to determine if it is a top-level committed version or a top-level uncommitted version by comparing version numbers. For each pvers entry in a remap table at 3105, a determination is made at steps 3120 or 3140 of whether the entry is equal to the last committed version or greater than the last committed version. The top-level committed version is linked from the remap entry LPV field. The pvers list may sorted by version number and the list is processed from the high-order end so that only the top-level versions need to be examined.

FIG. 32 is a flowchart illustrating the recovery subroutine to build straddle responsibility sets. Recall that only top-level uncommitted versions appear in straddle responsibility sets. The pvers list may be sorted by version number and the list processed from the high-order end so that only the top-level uncommitted versions need to be examined. The subroutine 2880 attempts to find a straddler for the target of each top-level uncommitted version. Again, the pvers list may be augmented with a sorted index, as discussed before, so that finding a straddler can be performed efficiently via binary search.

For each pvers entry in the remap entry of page p at 3220, if the commit state is UNCOMMIT then the highest version pvers entry in the remap entry is checked. If the next version entry in the pvers entry is null at step 3230, there is no straddler, or at step 3240 if the straddler is subsequent to the last committed version of the target page, then the top-level uncommitted version is added to the straddle responsibility set of the target page at 3260. Otherwise, the straddler is a designated straddler and the top-level uncommitted version is added to the straddle responsibility set of the straddler at 3250.

Each top-level uncommitted version appears in a straddle responsibility set. A non-top-level version with a non-empty straddle responsibility set cannot be garbage collected. In one embodiment, storage pages containing top-level uncommitted versions are scheduled for priority in reuse or erasure so that straddle responsibility sets will empty out rapidly. In one embodiment, during normal operation any slack time that exists will be appropriated to rub out or arrange to erase storage pages containing top-level uncommitted versions. The necessary arrangements will be obvious to those skilled in the art.

An in-progress transaction that has not written all of its intentions may be aborted at any time without requiring that other in-progress transactions also abort. The intentions that have been written become top-level uncommitted intentions and thus must appear in straddle responsibility sets. The volatile data structures must be updated to reflect this fact. The necessary arrangements will be obvious to those skilled in the art.

The present technology applies to various types of non-volatile random access storage devices. Some such devices, such as flash memory, are generally not capable of re-writing a written storage page without first subjecting the written storage page to an erasure process. Moreover, typically the erasure process cannot be applied to a single storage page in isolation but instead must target a large block of storage pages to be erased. Methods for arranging to have a large block of garbage storage pages on which to perform the erasure process are taught in the prior art. One approach is to identify a block of storage pages almost all of which are garbage and then arrange to copy the contents of the few non-garbage ones into free storage pages in another block. A notable aspect of this approach is that a failure may result in having identical copies of the same contents in multiple storage pages on the storage device.

Although flash memory typically cannot re-write a written storage page without first erasing it, typically a written storage page can be altered in such a way that the storage page can subsequently be decoded as a “rubbed-out” storage page. In this way, the contents of a storage page can be invalidated, even though the storage page cannot be reused for other data until it goes through the erasure process. Rubbing out a storage page is typically much more efficient than arranging to erase it.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims. 

1.-20. (canceled)
 21. A machine-implemented method recovers latest committed data within a non-volatile storage after disruptive stoppage of operations of a host device that is writing by means of write transactions to the non-volatile storage, the method comprising: automatically determining that the host device has experienced and is restarting from a disruptive stoppage of operations and that in-process write transactions by the disrupted host device to respective pages of the non-volatile storage may have thereby been interrupted before completion; in response to said determining that the host device has experienced a disruptive stoppage of operations, automatically scanning the non-volatile storage for all metadata-containing storage pages with respective identifications S(i) and having corresponding metadata relating each respective storage page S(i) to a corresponding data structure page P(j) and to a corresponding version number V(k) where i, j and k are variables, the respective storage pages S(i) also each having stored data that potentially constitutes latest valid data for the corresponding data structure page P(j) or obsolete or rubbed out data for the corresponding data structure page P(j); automatically identifying those of the scanned storage pages S(i) that have for their corresponding data structure page P(j) a most recent version number HV(k) and additionally but not necessarily for each instance, a second most recent version number; automatically tracing through the identified storage pages S(i) to further identify those with the most recent version number HV(k) that are uncommitted as opposed to being committed; automatically designating for expungement those of the scanned storage pages S(i) that are not both of committed and having the more recent of the most recent and second most recent version number for their corresponding data structure page P(j); beginning normal operations for the host device; and after beginning the normal operations, expunging at least some of the storage pages S(i) that have been designated for expungement.
 22. The method of claim 21 wherein: said further identifying of the scan identified storage pages S(i) as being uncommitted as opposed to being committed includes automatically tracing through the respective metadata of the identified storage pages S(i) so as to thereby detect respective closures or nonclosures of one or more linked lists defined by the metadata for corresponding write intentions for the respective data structure pages P(j) of the disrupted host device, where a closure indicates commitment and nonclosure indicates lack of commitment.
 23. The method of claim 22 wherein: the traced through respective metadata of the identified storage pages S(i) each respectively includes an identifier of the data structure page P(j) associated with the stored data of the storage page S(i), an identifier of the corresponding version number V(k) of the stored data and an identifier of the data structure page NP(m) associated with the stored data of a next storage page S(i+1) in the corresponding linked list of write intentions, where m is a variable.
 24. The method of claim 23 wherein: the traced through respective metadata of the identified storage pages S(i) each respectively further includes an identifier of the corresponding version number NV(n) of the stored data of a next storage page S(i+1), where n is a variable.
 25. The method of claim 21 wherein: said non-volatile storage includes a solid state disk (SSD).
 26. The method of claim 21 wherein: said disruptive stoppage of operations of the host device is due to a hardware failure.
 27. The method of claim 26 wherein: said disruptive stoppage of operations of the host device is due to a power failure.
 28. The method of claim 21 wherein: said determining that the host device has experienced and is restarting from a disruptive stoppage of operations occurs before resumption of said normal operations for the host device.
 29. The method of claim 21 wherein: expungement of the designated storage pages S(i) includes erasing blocks of storage pages.
 30. The method of claim 21 wherein: said beginning of normal operations is characterized by launching or resuming one or more applications whose respective launches or resumptions do not include immediate employment of write transactions to the non-volatile storage such that substantial completion of said expunging of at least some of the storage pages S(i) after the beginning of the normal operations can be achieved before the launched or resumed applications begin employing write transactions to the non-volatile storage.
 31. The method of claim 21 wherein: said expunging of the at least some of the storage pages S(i) after the beginning of the normal operations is accompanied by monitoring the write transactions of applications launched or resumed with the beginning of normal operations for inclusion of restricted intentions, said restricted intentions being ones that identify as their corresponding data structure page P(j) and associated version number V(k) a same data structure page as identified by a to-be expunged storage page S(i) and a same as or more recent version number V(k) than the version number of the to-be expunged storage page S(i).
 32. The method of claim 21 wherein: said expunging of the at least some of the storage pages S(i) after the beginning of the normal operations is preceded by production of an abort record, said abort record identifying all the to-be expunged storage pages S(i) and blocking reading from those to-be expunged storage pages S(i) because the latter are intention violations.
 33. The method of claim 21 wherein said beginning of the normal operations includes: recording as a last committed version number the intention version number for each storage page S(i) referenced by an intention within a closed cycle of intentions; and determining straddle responsibilities for top level versions.
 34. The method of claim 33 and further comprising: starting a garbage collection operation that is responsive to the determined straddle responsibilities.
 35. The method of claim 21 and further comprising: automatically building a remap table based on said tracing through the identified storage pages S(i).
 36. A machine system configured to recover latest committed data within a non-volatile storage thereof after disruptive stoppage of operations of a host device of the system that is writing by means of write transactions to the non-volatile storage, the machine system comprising: volatile memory; an operations resuming mechanism configured to automatically determine that the host device has experienced and is restarting from a disruptive stoppage of operations and that in-process write transactions by the disrupted host device to respective pages of the non-volatile storage may have thereby been interrupted before completion; a scanning mechanism responsive to said determining that the host device has experienced a disruptive stoppage of operations and is restarting from a disruptive stoppage of operations, the scanning mechanism being configured to responsively and automatically scan the non-volatile storage for all metadata-containing storage pages with respective identifications S(i) and having corresponding metadata relating each respective storage page S(i) to a corresponding data structure page P(j) and to a corresponding version number V(k) where i, j and k are variables, the respective storage pages S(i) also each having stored data that potentially constitutes latest valid data for the corresponding data structure page P(j) or obsolete or rubbed out data for the corresponding data structure page P(j); an identifier configured to automatically identify those of the scanned storage pages S(i) that have for their corresponding data structure page P(j) a most recent version number HV(k) and additionally but not necessarily for each instance, a second most recent version number; a tracer configured to automatically trace through the identified storage pages S(i) to further identify those with the most recent version number HV(k) that are uncommitted as opposed to being committed; a designator configured to automatically designate for expungement those of the scanned storage pages S(i) that are not both of committed and having the more recent of the most recent and second most recent version number for their corresponding data structure page P(j); a normal operations initiator configured to begin normal operations for the host device; and an expunger configured to expunge at least some of the storage pages S(i) that have been designated for expungement after said beginning of the normal operations.
 37. The machine system of claim 36 wherein: the tracer is configured to perform said further identifying of the scan identified storage pages S(i) as being uncommitted as opposed to being committed be automatically tracing through the respective metadata of the identified storage pages S(i) so as to thereby detect respective closures or nonclosures of one or more linked lists defined by the metadata for corresponding write intentions for the respective data structure pages P(j) of the disrupted host device, where a closure indicates commitment and nonclosure indicates lack of commitment.
 38. The machine system of claim 37 wherein: the traced through respective metadata of the identified storage pages S(i) each respectively includes an identifier of the data structure page P(j) associated with the stored data of the storage page S(i), an identifier of the corresponding version number V(k) of the stored data and an identifier of the data structure page NP(m) associated with the stored data of a next storage page S(i+1) in the corresponding linked list of write intentions, where m is a variable.
 39. Computer-readable storage hardware having embodied therein executable instructions for execution by one or more processors, the executable instructions being configured to cause recovery of latest committed data within a non-volatile storage after disruptive stoppage of operations of a host device that is writing by means of write transactions to the non-volatile storage, the cause recovery comprising: automatically determining that the host device has experienced and is restarting from a disruptive stoppage of operations and that in-process write transactions by the disrupted host device to respective pages of the non-volatile storage may have thereby been interrupted before completion; in response to said determining that the host device has experienced a disruptive stoppage of operations, automatically scanning the non-volatile storage for all metadata-containing storage pages with respective identifications S(i) and having corresponding metadata relating each respective storage page S(i) to a corresponding data structure page P(j) and to a corresponding version number V(k) where i, j and k are variables, the respective storage pages S(i) also each having stored data that potentially constitutes latest valid data for the corresponding data structure page P(j) or obsolete or rubbed out data for the corresponding data structure page P(j); automatically identifying those of the scanned storage pages S(i) that have for their corresponding data structure page P(j) a most recent version number HV(k) and additionally but not necessarily for each instance, a second most recent version number; automatically tracing through the identified storage pages S(i) to further identify those with the most recent version number HV(k) that are uncommitted as opposed to being committed; automatically designating for expungement those of the scanned storage pages S(i) that are not both of committed and having the more recent of the most recent and second most recent version number for their corresponding data structure page P0); beginning normal operations for the host device; and after beginning the normal operations, expunging at least some of the storage pages S(i) that have been designated for expungement.
 40. The computer-readable storage hardware of claim 39 wherein: said further identifying of the scan identified storage pages S(i) as being uncommitted as opposed to being committed includes automatically tracing through the respective metadata of the identified storage pages S(i) so as to thereby detect respective closures or nonclosures of one or more linked lists defined by the metadata for corresponding write intentions for the respective data structure pages P(j) of the disrupted host device, where a closure indicates commitment and nonclosure indicates lack of commitment. 